Advanced

Long-term effects of advanced driver assistance systems – Literature review

Larsson, Annika LU and Varhelyi, Andras LU (2012) SP7 working report.
Abstract
Search for scientific references on long-term effects of intelligent vehicle systems was carried out in the Transport (Ovid SP) database, produced by OECD, TRB (US) and ECMT (EU), as well as finding related articles on Google Scholar. Methods used in the reviewed studies include instrumented vehicles, field operations tests, in-car observation, cohort studies, interview studies, focus groups and driving test vehicles for shorter periods of time. There are some indications, that system effects are greater in the beginning of a study, stabilising at a lower level later on. This seems to be the case for ISA systems and there is some such tendency for Roll Stability Advisor/Control on trucks. On the other hand, one study on ACC showed that... (More)
Search for scientific references on long-term effects of intelligent vehicle systems was carried out in the Transport (Ovid SP) database, produced by OECD, TRB (US) and ECMT (EU), as well as finding related articles on Google Scholar. Methods used in the reviewed studies include instrumented vehicles, field operations tests, in-car observation, cohort studies, interview studies, focus groups and driving test vehicles for shorter periods of time. There are some indications, that system effects are greater in the beginning of a study, stabilising at a lower level later on. This seems to be the case for ISA systems and there is some such tendency for Roll Stability Advisor/Control on trucks. On the other hand, one study on ACC showed that usage increased in the long term (9 month’s use, compared to 2-3 months use). Some adverse effects such as more speeding can also be found after a longer time period with systems such as forward collision warning, but it is unclear whether this persists after longer than 15 months. Speed-limit supporting systems such as ISA were found to have an effect when using the system up to three years later. Studies of this length have not been conducted with other systems. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Book/Report
publication status
published
subject
volume
SP7 working report
pages
13 pages
publisher
InteractIVe Consortium
language
English
LU publication?
yes
id
eb266c4a-d14f-42f8-be9c-bd44b0b1dc04 (old id 4467666)
date added to LUP
2014-06-23 14:13:39
date last changed
2016-04-16 07:59:17
@techreport{eb266c4a-d14f-42f8-be9c-bd44b0b1dc04,
  abstract     = {Search for scientific references on long-term effects of intelligent vehicle systems was carried out in the Transport (Ovid SP) database, produced by OECD, TRB (US) and ECMT (EU), as well as finding related articles on Google Scholar. Methods used in the reviewed studies include instrumented vehicles, field operations tests, in-car observation, cohort studies, interview studies, focus groups and driving test vehicles for shorter periods of time. There are some indications, that system effects are greater in the beginning of a study, stabilising at a lower level later on. This seems to be the case for ISA systems and there is some such tendency for Roll Stability Advisor/Control on trucks. On the other hand, one study on ACC showed that usage increased in the long term (9 month’s use, compared to 2-3 months use). Some adverse effects such as more speeding can also be found after a longer time period with systems such as forward collision warning, but it is unclear whether this persists after longer than 15 months. Speed-limit supporting systems such as ISA were found to have an effect when using the system up to three years later. Studies of this length have not been conducted with other systems.},
  author       = {Larsson, Annika and Varhelyi, Andras},
  institution  = {InteractIVe Consortium},
  language     = {eng},
  pages        = {13},
  title        = {Long-term effects of advanced driver assistance systems – Literature review},
  volume       = {SP7 working report},
  year         = {2012},
}